Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.
The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale.
We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm).
We're raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are hiring a Support Engineer.
Communicate clearly and empathetically with developers and non-technical users.
Are excellent at systematic debugging (HTTP, JSON, auth, retries, idempotency, webhooks).
Are comfortable reading/writing code (Python or TypeScript preferred) to create minimal repros.
Have strong product sense: you don't just fix symptoms — you propose changes that eliminate whole classes of issues.
Thrive in a high-ownership, early-stage environment and bias toward action.
Be the front line for developers using Reducto's API — triage, reproduce, and resolve issues across auth, webhooks, rate limits, schema/field extraction, and SDKs.
Own the debugging loop end-to-end — capture great repros, dig through logs/metrics, file crisp bug reports, and drive fixes across Engineering.
Build durable support processes — write playbooks, macros, and self-serve docs; instrument queues and SLAs; tighten feedback loops so issues don't repeat.
Use AI to move faster — summarize long logs, cluster similar tickets, propose replies, and draft docs; measure where AI assists actually reduce time-to-resolution.
Champion the developer experience — spot rough edges in our API, docs, and tooling; partner with Engineering and Product on roadmap fixes and quality-of-life improvements.
Have supported API-first or developer-tooling products.
Have used observability stacks (logs/metrics/traces) and basic SQL to investigate issues.
Have worked with AWS primitives (S3, IAM, CloudFront) or document/OCR/LLM pipelines.
Have experience applying LLMs to customer-support workflows (classification, summarization, reply suggestions).
This is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.
At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:
Unlimited PTO: We believe great work requires recharging
Lunch: Receive a free lunch to eat with your teammates daily at the office
Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs
Insurance: Generous health insurance covering medical, dental, and vision
Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar
Parental Leave: Work with us to build a leave schedule that works for you and your family
Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.
Reducto